A method of dynamic hand gesture detection based on local background updates and skin color model

Author

Zhao, Shuying ; Shen, Li ; Tan, Wenjun

Author_Institution

Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

Volume

5

fYear

2010

fDate

22-24 Oct. 2010

Abstract

Aim at the faults of the traditional background difference method based on Bayes Rule when detects motion hand gestures, such as the existence of interference regions, slow computing speed and so on. A method of dynamic hand gesture detection based on local background updates and skin color model is proposed in this paper. The skin color region in a single image is extracted through skin color model to remove interference objects, and computing speed is improved through local background updates. The experimental results show that this method can preferably detect out motion hand gestures even in complex background.

Keywords

Bayes methods; feature extraction; gesture recognition; image colour analysis; image motion analysis; interference (signal); object detection; Bayes rule; background difference method; dynamic hand motion gesture detection method; interference object removal; local background updates; single image extraction; skin color model; Optical imaging; background difference method; dynamic hand gesture detection; local background updates; skin color model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Application and System Modeling (ICCASM), 2010 International Conference on

Conference_Location

Taiyuan

Print_ISBN

978-1-4244-7235-2

Electronic_ISBN

978-1-4244-7237-6

Type

conf

DOI

10.1109/ICCASM.2010.5619238

Filename

5619238